Models

Upstage's flagship model, specialized for agentic use

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Agentic coding model from Poolside in the XS size class for local deployment

Quality-first multi-agent model for hard research, analysis, and competitions

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

Qwen vision-language model for visual reasoning, documents, and agent tasks

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

Open MiMo model for multimodal coding agents and long-context automation

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Qwen vision-language model for visual reasoning, documents, and agent tasks

Large open Qwen multimodal MoE for visual agents and long technical tasks

Flagship model for demanding analysis, coding, and production agent workflows

Flagship Qwen3 model for coding agents, complex reasoning, and tool use

Qwen vision-language model for visual reasoning, documents, and agent tasks

Qwen coding model for software agents, repository edits, and code reasoning

Efficient Qwen model for fast chat, extraction, and high-volume workloads

Hosted Qwen coder for software agents, repo edits, and long-context code

Instruct model with native audio input for speech understanding and tool use

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents

Flagship model for demanding analysis, coding, and production agent workflows

Qwen instruction model for multilingual chat, reasoning, and tool use